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Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters

The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but...

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Autores principales: Máté, Ákos, Rakovics, Zsófia, Rudas, Szilvia, Wallis, Levente, Ságvári, Bence, Huszár, Ákos, Koltai, Júlia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181725/
https://www.ncbi.nlm.nih.gov/pubmed/37177775
http://dx.doi.org/10.3390/s23094571
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author Máté, Ákos
Rakovics, Zsófia
Rudas, Szilvia
Wallis, Levente
Ságvári, Bence
Huszár, Ákos
Koltai, Júlia
author_facet Máté, Ákos
Rakovics, Zsófia
Rudas, Szilvia
Wallis, Levente
Ságvári, Bence
Huszár, Ákos
Koltai, Júlia
author_sort Máté, Ákos
collection PubMed
description The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage behaviour. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g., different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest influence, with younger age groups having a higher willingness to participate than older ones. Smartphone use also has an impact on participation. Advanced users are more likely to participate, while users who only use the basic functions of their device are less likely to participate than those who use it mainly for social media. Finally, the explorative analysis with interaction terms between levels has shown that the circumstances of data collection matter differently for different social groups. These findings provide important clues on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection.
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spelling pubmed-101817252023-05-13 Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters Máté, Ákos Rakovics, Zsófia Rudas, Szilvia Wallis, Levente Ságvári, Bence Huszár, Ákos Koltai, Júlia Sensors (Basel) Article The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage behaviour. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g., different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest influence, with younger age groups having a higher willingness to participate than older ones. Smartphone use also has an impact on participation. Advanced users are more likely to participate, while users who only use the basic functions of their device are less likely to participate than those who use it mainly for social media. Finally, the explorative analysis with interaction terms between levels has shown that the circumstances of data collection matter differently for different social groups. These findings provide important clues on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection. MDPI 2023-05-08 /pmc/articles/PMC10181725/ /pubmed/37177775 http://dx.doi.org/10.3390/s23094571 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Máté, Ákos
Rakovics, Zsófia
Rudas, Szilvia
Wallis, Levente
Ságvári, Bence
Huszár, Ákos
Koltai, Júlia
Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title_full Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title_fullStr Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title_full_unstemmed Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title_short Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
title_sort willingness of participation in an application-based digital data collection among different social groups and smartphone user clusters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181725/
https://www.ncbi.nlm.nih.gov/pubmed/37177775
http://dx.doi.org/10.3390/s23094571
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